Elsevier

Social Networks

Volume 20, Issue 1, January 1998, Pages 23-50
Social Networks

A social network approach to estimating seroprevalence in the United States

https://doi.org/10.1016/S0378-8733(96)00305-XGet rights and content

Abstract

Results from a representative survey of respondents in Florida are given, concerning their knowledge about members of their personal network, and specifically how many people respondents know in selected subpopulations. We employ a method known as a “network scale-up method”. By using a collection of subpopulations of known size, and also asking about one subpopulation (those who are seropositive) of unknown size, we make various estimates of personal network size and the size of the seropositive subpopulation. Our best (maximum likelihood, unbiased) estimates are 108 members of the network defined by “having been in contact with during the previous two years”, and (approximately unbiased) 1.6 million for the seropositive subpopulation. Because of the proportional over-representation of AIDS (and presumably, therefore, seropositive) in Florida, by a factor of about two, this latter estimate could be an overestimate.

References (25)

  • L.C. Freeman et al.

    Estimating acquaintanceship volume

  • M.H. Gail et al.

    Methods for projecting course of acquired immune deficiency syndrome epidemic

    Journal of the National Cancer Institute

    (1988)
  • Cited by (80)

    • Inferring latent social networks from stock holdings

      2019, Journal of Financial Economics
    • Nowcasting Temporal Trends Using Indirect Surveys

      2024, Proceedings of the AAAI Conference on Artificial Intelligence
    View all citing articles on Scopus
    View full text